[Identification and molecular cloning and sequence analysis of a novel coronavirus from patients with SARS by RT-PCR].
Bibliographic record
Abstract
OBJECTIVE: To investigate the etiologic agents of the SARS and develop diagnostic method for this disease. METHODS: Thirty-six nasopharyngeal aspirate specimens from 27 patients with SARS in Shenzhen were collected. The samples were aliquotted to three parts and subjected to molecular assays for human metapneumovirus, chlamydia and a novel coronavirus, which was reported recently to be the etiologic agent of SARS. Nested RT-PCR was used to amplify the RNA polymerase gene of the novel coronavirus and the PCR products were sequenced directly or after cloned to pMD18-T vector. RESULTS: Human metapneumovirus and chlamydia genes were detected in none of the specimens using the RT-PCR and nested-PCR, respectively. The novel coronavirus gene were amplified in 6 of 36 specimens, the sequence analysis indicated that this novel coronavirus is unrelated to any other coronavirus reported previously. The nucleotide and deduced amino acid alignment between this coronavirus and others was not more than 40% and 70% to 82%, respectively, while the nucleotide sequence cloned from the 6 patients were identical. CONCLUSIONS: The SARS patients in Shenzhen were infected with coronavirus and this novel coronavirus is associated with SARS. The sequence analysis indicated that the coronavirus from SARS patients in Shenzhen is the same as that identified from other areas such as Canada and Hong Kong. A specific diagnostic nested RT-PCR was developed to identify this novel coronavirus infection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".